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1 rework order
RO, rework orderEnglish-Russian dictionary of planing, cross-planing and slotting machines > rework order
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2 rework order
Военный термин: наряд на проведение модификации -
3 rework order
• uusintatyötilaus -
4 rework order
herbewerkingsopdracht -
5 rework to size
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6 RO
1) Спорт: рондат2) Военный термин: Radar Operation, Rebel Outpost, Records, Records Office, radar observer, radar operator, radio operator, range officer, range operation, receiving office, receiving officer, reconnaissance officer, records officer, recovery operations, recruiting officer, redistribution order, regimental orders, regional officer, regulating officer, reportable occurrence, reporting officer, requirements objective, requisitioning objective, research office, research officer, reserve of officers, reserve officer, reserve order, retired officer, rework order, right observer, room orderly, route order, routine order, routing office, routing officer3) Техника: radio navigation mobile station, radio observer, reactor operator, recorder, recto, register operation, remain open, restriction orifice, right-hand page, ringing oscillator, обозначение для подвижных радионавигационных станций (МСЭ), Обратный осмос (Reverse Osmosis), заказ на ремонт (repair order)4) Химия: Red Oxide5) География: Румыния6) Политика: Romania7) Телекоммуникации: Ring Out (Token Ring MAU)8) Сокращение: Range Only type sonobuoy, Retired Officer (British Army), Romania (NATO country code), Romanian, Royal Observatory, Royal Ordnance (UK), rector, rough opening, runout9) Университет: Research Organization10) Физика: Results Of11) Физиология: Radon Occurence, Rule Out13) Нефть: отдел надёжности (reliability office)14) Банковское дело: Оманский риал (денежная единица)16) Экология: reverse osmosis17) Патенты: Получающее Ведомство (Receiving Office; сокр.: ПВ)18) СМИ: Romantic Obsession19) Глоссарий компании Сахалин Энерджи: requisition originator20) Нефтегазовая техника ограничительная диафрагма21) Сетевые технологии: read only, receive only, только для приёма данных, только для считывания22) ЕБРР: Resident Office23) Контроль качества: Reliability Office24) Гостиничное дело: без питания (Room only)25) Судостроение: Recognised Organisation26) ООН: Russian Orphan27) НАСА: Repair and Overhaul -
7 Ro
1) Спорт: рондат2) Военный термин: Radar Operation, Rebel Outpost, Records, Records Office, radar observer, radar operator, radio operator, range officer, range operation, receiving office, receiving officer, reconnaissance officer, records officer, recovery operations, recruiting officer, redistribution order, regimental orders, regional officer, regulating officer, reportable occurrence, reporting officer, requirements objective, requisitioning objective, research office, research officer, reserve of officers, reserve officer, reserve order, retired officer, rework order, right observer, room orderly, route order, routine order, routing office, routing officer3) Техника: radio navigation mobile station, radio observer, reactor operator, recorder, recto, register operation, remain open, restriction orifice, right-hand page, ringing oscillator, обозначение для подвижных радионавигационных станций (МСЭ), Обратный осмос (Reverse Osmosis), заказ на ремонт (repair order)4) Химия: Red Oxide5) География: Румыния6) Политика: Romania7) Телекоммуникации: Ring Out (Token Ring MAU)8) Сокращение: Range Only type sonobuoy, Retired Officer (British Army), Romania (NATO country code), Romanian, Royal Observatory, Royal Ordnance (UK), rector, rough opening, runout9) Университет: Research Organization10) Физика: Results Of11) Физиология: Radon Occurence, Rule Out13) Нефть: отдел надёжности (reliability office)14) Банковское дело: Оманский риал (денежная единица)16) Экология: reverse osmosis17) Патенты: Получающее Ведомство (Receiving Office; сокр.: ПВ)18) СМИ: Romantic Obsession19) Глоссарий компании Сахалин Энерджи: requisition originator20) Нефтегазовая техника ограничительная диафрагма21) Сетевые технологии: read only, receive only, только для приёма данных, только для считывания22) ЕБРР: Resident Office23) Контроль качества: Reliability Office24) Гостиничное дело: без питания (Room only)25) Судостроение: Recognised Organisation26) ООН: Russian Orphan27) НАСА: Repair and Overhaul -
8 ro
1) Спорт: рондат2) Военный термин: Radar Operation, Rebel Outpost, Records, Records Office, radar observer, radar operator, radio operator, range officer, range operation, receiving office, receiving officer, reconnaissance officer, records officer, recovery operations, recruiting officer, redistribution order, regimental orders, regional officer, regulating officer, reportable occurrence, reporting officer, requirements objective, requisitioning objective, research office, research officer, reserve of officers, reserve officer, reserve order, retired officer, rework order, right observer, room orderly, route order, routine order, routing office, routing officer3) Техника: radio navigation mobile station, radio observer, reactor operator, recorder, recto, register operation, remain open, restriction orifice, right-hand page, ringing oscillator, обозначение для подвижных радионавигационных станций (МСЭ), Обратный осмос (Reverse Osmosis), заказ на ремонт (repair order)4) Химия: Red Oxide5) География: Румыния6) Политика: Romania7) Телекоммуникации: Ring Out (Token Ring MAU)8) Сокращение: Range Only type sonobuoy, Retired Officer (British Army), Romania (NATO country code), Romanian, Royal Observatory, Royal Ordnance (UK), rector, rough opening, runout9) Университет: Research Organization10) Физика: Results Of11) Физиология: Radon Occurence, Rule Out13) Нефть: отдел надёжности (reliability office)14) Банковское дело: Оманский риал (денежная единица)16) Экология: reverse osmosis17) Патенты: Получающее Ведомство (Receiving Office; сокр.: ПВ)18) СМИ: Romantic Obsession19) Глоссарий компании Сахалин Энерджи: requisition originator20) Нефтегазовая техника ограничительная диафрагма21) Сетевые технологии: read only, receive only, только для приёма данных, только для считывания22) ЕБРР: Resident Office23) Контроль качества: Reliability Office24) Гостиничное дело: без питания (Room only)25) Судостроение: Recognised Organisation26) ООН: Russian Orphan27) НАСА: Repair and Overhaul -
9 RO
RO, radar observerав оператор (бортовой) РЛС————————RO, radar operator————————RO, radio operatorрадист, радиооператор————————RO, range officerкомендант полигона [стрельбища]————————RO, range operation(s)работа [деятельность] полигона; полигонные испытания————————RO, receiving officeотдел [отделение], ответственный за получение имущества————————RO, receiving officerофицер, ответственный за получение имущества————————RO, reconnaissance officer————————RO, Records Officeархивное управление; отдел делопроизводства; Бр отдел кадров (дивизии, корпуса)————————RO, records officerофицер по учету ЛС; офицер по делопроизводству————————RO, recovery operationsремонтно-восстановительные работы; обеспечение безопасного возвращения (КА)————————RO, recruiting officer————————RO, redistribution order————————RO, regimental orders————————RO, regional officer————————RO, regulating officerначальник распорядительной станции; офицер по сортировке раненых————————RO, reportable occurrence————————RO, reporting officerофицер связи; порученец————————RO, requirements objective————————RO, requisitioning objective————————RO, research officeнаучно-исследовательских отдел [управление]; отдел [управление] НИР————————RO, research officer————————RO, reserve of officers————————RO, reserve officerофицер резерва [запаса]————————RO, reserve orderрасположение [боевой порядок] резерва [второго эшелона]————————RO, Бр retired officer————————RO, rework order————————RO, right observer————————RO, room orderly————————RO, route orderинструкция по перевозкам военных грузов; мор походный ордер————————RO, routine order————————RO, routing office————————RO, routing officerEnglish-Russian dictionary of planing, cross-planing and slotting machines > RO
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10 cost
1. n1) цена; стоимость; себестоимость2) обыкн. pl расходы, издержки, затраты3) pl судебные издержки, судебные расходы
- absorbed costs
- accident costs
- acquisition cost
- actual cost
- actual costs
- actual manufacturing cost
- added cost
- additional cost
- adjusted historical cost
- administration costs
- administrative costs
- administrative and management costs
- administrative and operational services costs
- advertising costs
- after costs
- after-shipment costs
- aggregate costs
- agreed cost
- airfreight cost
- allocable costs
- allowable costs
- alternative costs
- amortization costs
- amortized cost
- ancillary costs
- annual costs
- anticipated costs
- applied cost
- arbitration costs
- assembly costs
- assessed cost
- average cost
- average costs
- average cost per unit
- average variable costs
- avoidable costs
- back-order costs
- basic cost
- billed cost
- book cost
- borrowing cost
- breakage cost
- break-even costs
- budget costs
- budgeted cost
- budgeted costs
- budgeted operating costs
- building costs
- burden costs
- calculated costs
- capacity costs
- capital costs
- capital floatation costs
- carriage costs
- carrying cost
- carrying costs
- centrally-managed costs
- changeover costs
- cleaning costs
- clerical costs
- closing costs
- collection costs
- combined cost
- commercial cost
- commercial costs
- committed costs
- common staff costs
- comparative costs
- competitive costs
- competitive marginal costs
- complaint costs
- conditional cost
- consequential costs
- considerable costs
- constant cost
- constant costs
- construction costs
- contract cost
- contractual costs
- controllable costs
- court costs
- crane costs
- credit costs
- cumulative costs
- current cost
- current costs
- current outlay costs
- current standard cost
- cycle inventory costs
- debt-servicing costs
- declining costs
- decorating costs
- decreasing costs
- defect costs
- defence costs
- deferred costs
- deficiency costs
- degressive costs
- delivery costs
- departmental costs
- depleted cost
- depreciable cost
- depreciated cost
- depreciated replacement cost
- depreciation costs
- designing costs
- deterioration costs
- development costs
- differential costs
- direct costs
- direct labour costs
- direct operating costs
- direct payroll costs
- discretionary fixed costs
- dismantling costs
- distribution costs
- distribution marketing cost
- domestic resource costs
- double-weighted borrowing cost
- downtime costs
- economic costs
- eligible costs
- engineering costs
- entry cost
- environmental costs
- equipment capital costs
- erection costs
- escalating costs
- escapable costs
- estimated cost
- estimated costs
- evaluation cost
- excess cost
- excess costs
- excessive costs
- exhibition costs
- exploration costs
- extra costs
- extra and extraordinary costs
- extraordinary costs
- fabrication cost
- factor cost
- factor costs
- factory cost
- factory costs
- factory overhead costs
- failure costs
- farm production costs
- farmer's cost
- farming costs
- feed costs
- fertilizing costs
- final cost
- financial costs
- financing costs
- first cost
- fixed costs
- fixed capital replacement costs
- flat cost
- floatation costs
- food costs
- foreign housing costs
- formation costs
- freight costs
- fuel costs
- full cost
- full costs
- funding cost
- general costs
- general running costs
- government-controlled production costs
- guarantee costs
- harvesting costs
- haul costs
- haulage costs
- heavy costs
- hedging cost
- hidden costs
- high cost
- hiring costs
- historical cost
- hospitality costs
- hotel costs
- hourly costs
- idle capacity costs
- idle time costs
- implicit costs
- implied interest costs
- imputed costs
- incidental costs
- increasing costs
- incremental costs
- incremental cost of capital
- incremental costs of circulation
- incremental costs of service
- incurred costs
- indirect costs
- indirect labour costs
- indirect manufacturing costs
- indirect payroll costs
- indirect production costs
- individual costs
- industrial costs
- industry-average costs
- initial cost
- inland freight cost
- inspection costs
- installation costs
- insurance costs
- insured cost
- intangible costs
- integrated cost
- interest costs
- inventoriable costs
- inventory cost
- inventory costs
- inventory acquisition costs
- inventory possession costs
- investigation costs
- investment costs
- invoiced cost
- issuing cost
- joint cost
- labour costs
- landed cost
- launching cost
- launching costs
- layoff costs
- legal costs
- legitimate costs
- life cycle costs
- life repair cost
- liquidation cost
- litigation costs
- living costs
- loading costs
- loan cost
- long-run average costs
- long-run marginal costs
- low costs
- low operating costs
- lump-sum costs
- machining cost
- maintenance costs
- maintenance-and-repair costs
- management costs
- man-power cost
- man-power costs
- manufacturing cost
- manufacturing costs
- manufacturing overhead costs
- marginal costs
- marginal-factor costs
- maritime costs
- marketing costs
- material costs
- material handling costs
- merchandising costs
- miscellaneous costs
- mixed cost
- mounting costs
- net cost
- nominal cost
- nonmanufacturing costs
- obsolescence costs
- offering cost
- one-off costs
- one-off costs of acquiring land, buildings and equipment
- one-shot costs
- operating costs
- operation costs
- operational costs
- opportunity costs
- order cost
- ordering cost
- order initiation cost
- ordinary costs
- organization costs
- organizational costs
- original cost
- original cost of the assets
- original cost of capital
- out-of-pocket costs
- overall cost
- overall costs
- overhead costs
- overtime costs
- own costs
- owning costs
- packaging cost
- packing cost
- past costs
- past sunk costs
- payroll cost
- payroll costs
- penalty cost
- penalty costs
- period costs
- permissible costs
- personnel costs
- piece costs
- planned costs
- postponable costs
- predetermined costs
- prepaid costs
- preproduction costs
- prime cost
- processing costs
- procurement costs
- product cost
- production cost
- production costs
- product unit cost
- progress-generating costs
- progressive costs
- prohibitive costs
- project costs
- project development cost
- projected costs
- promotional costs
- protected costs
- publicity costs
- purchase costs
- purchasing costs
- pure costs of circulation
- quality costs
- quality-inspection costs
- real cost
- real costs
- recall costs
- reconstruction cost
- recoverable cost
- recurring costs
- reduction costs
- reimbursable cost
- relative cost
- relevant costs
- removal costs
- renewal cost
- reoperating costs
- reoperation costs
- reorder cost
- repair cost
- repair costs
- replacement cost
- replacement costs
- replacement cost at market rates
- replacement cost of borrowing
- replacement cost of capital assets
- replacement cost of equipment
- replacement depreciation cost
- replenishment cost
- reproduction cost
- reproduction costs
- research costs
- research and development costs
- reservation costs
- rework costs
- rising costs
- road maintenance costs
- running costs
- run-on costs
- salvage cost
- salvage costs
- scheduled costs
- scrap cost
- selling costs
- semi-variable costs
- service costs
- servicing costs
- setting-up costs
- set-up costs
- shadow costs
- shelter costs
- shipping costs
- shortage costs
- single cost
- social costs
- social marginal costs
- social overhead costs
- sorting costs
- special costs
- specification costs
- spoilage costs
- staff costs
- stand costs
- standard cost
- standard costs
- standard direct labour costs
- standard direct materials cost
- standard factory overhead cost
- standing costs
- start-up costs
- stepped costs
- stocking cost
- stockout costs
- storage costs
- sunk costs
- supervision costs
- supplementary costs
- supplementary costs of circulation
- tangible costs
- target cost
- target costs
- taxable cost of shares
- tentative cost
- time-related cost
- total cost
- training cost
- training costs
- transaction costs
- transfer costs
- transhipment costs
- transport costs
- transportation costs
- travel costs
- travelling costs
- trim costs
- true cost
- true costs
- trust cost
- unamortized cost
- unavoidable costs
- underwriting cost
- unexpired costs
- unit cost
- unit costs
- unloading costs
- unrecovered cost
- unscheduled costs
- upkeep costs
- upward costs
- utility's costs
- variable costs
- variable capital costs
- wage costs
- war costs
- warehouse costs
- warehousing costs
- weighted average cost
- welfare costs
- wintering costs
- working cost
- working costs
- costs for bunker
- costs for storing
- costs of administration
- cost of appraisal
- cost of arbitration
- cost of borrowing
- cost of boxing
- cost of bunker
- cost of capital
- cost of capital deeping
- cost of carriage
- cost of carry
- cost of carrying inventory
- costs of circulation
- cost of civil engineering work
- cost of construction
- cost of a contract
- cost of credit
- cost of delivery
- cost of demonstration
- cost of discounting
- cost of disposal
- cost of education
- cost of equipment
- cost of equity capital
- cost of filing
- cost of financing
- cost of fixed capital
- cost of funds
- cost of goods
- cost of haulage
- cost of hotel accommodation
- costs of housing
- costs of idleness
- cost of installation
- cost of insurance
- costs of inventory
- cost of issue
- cost of labour
- cost of a licence
- cost of living
- cost of manpower
- cost of manufacture
- cost of manufactured goods
- cost of manufacturing
- costs of material
- costs of material inputs
- cost of money
- cost of obtaining funds
- costs of operations
- cost of an order
- cost of packaging
- cost of packing
- cost of postage
- costs of production
- cost of product sold
- cost of a project
- cost of publication
- cost of putting goods into a saleable condition
- cost of reclamation
- cost of reinsurance
- costs of reliability
- cost of renting
- cost of renting a trading post
- cost of repairs
- costs of routine maintenance
- cost of sales
- costs of sales
- cost of scrap
- cost of service
- cost of servicing
- costs of shipping
- cost of storage
- cost of a suit
- costs of supervision
- cost of tare
- costs of trackage
- costs of transportation
- cost of work
- cost per inquiry
- costs per unit
- above cost
- at cost
- at the cost of
- at extra cost
- below cost
- less costs
- minus costs
- next to cost
- under cost
- with costs
- without regard to cost
- exclusive of costs
- free of cost
- cost of market, whichever is lower
- cost plus percentage of cost
- absorb costs
- allocate costs
- assess the cost
- assess costs
- assume costs
- award costs against smb.
- bear costs
- calculate costs
- charge cost
- compute the cost
- cover the cost
- cover costs
- curb costs
- curtail costs
- cut down on costs
- cut production costs
- decrease the cost
- defray the costs
- determine the cost
- disregard costs
- distort the cost
- distribute costs
- entail costs
- estimate costs
- exceed the cost
- impose costs
- increase cost
- incur costs
- inflict economic and social costs
- involve costs
- itemize costs
- keep down costs
- meet the cost
- meet costs
- offset the cost
- offset the costs
- offset high interest costs
- overestimate production costs
- pay costs
- prune away costs
- push up costs
- recompense the cost
- recoup the cost
- recover costs
- reduce costs
- refund the cost
- revise the cost
- save costs
- sell at a cost
- share the cost
- slash costs
- split up the cost
- trim costs
- write off costs
- write off costs against revenues
- write off capital costs2. v1) стоить -
11 cost
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12 turn round
turn round vb girar / volver / dar la vuelta(esp BrE) turn around1. VI + ADV1) (back to front) volverse, dar la espaldaas soon as I turned round they were quarrelling again — en cuanto les volví la espalda se pusieron otra vez a reñir
he turned round and said... * — (fig) fue y me dijo or me soltó... *
2) (=rotate) girar, dar vueltas3) (=improve) [business, economy] recuperarse2. VT + ADV1) [+ person, object] dar la vuelta a, voltear (LAm); [+ vehicle, ship etc] dar la vuelta a, girar2) (Comm)3) (=make successful) [+ business, economy] sacar a flote, hacer despegar; (=make profitable) [+ company, school] rentabilizar, sanear (las finanzas de); [+ the economy] sanear4) (=rework) [+ sentence, idea] modificar, alterar* * *(esp BrE) turn around -
13 arrange
договориться глагол:уславливаться (agree, arrange, make arrangements, understand, settle)приходить к соглашению (come to an agreement, come to terms, strike a bargain, close a bargain, come to an arrangement, arrange) -
14 arranging
организации глагол:уславливаться (agree, arrange, make arrangements, understand, settle)приходить к соглашению (come to an agreement, come to terms, strike a bargain, close a bargain, come to an arrangement, get together) -
15 size
1. n размер, величина; объёмin size — по величине, по размерам
2. n номер, размерcontact size — размер изображения, равный размеру оригинала
3. n уровень способностей; склад характера4. n тех. калибр5. n спец. формат; размер, величина6. n полигр. кегльnormal size — нормальный кегль ; недробный кегль
7. n инструмент для измерения величины жемчужинactual size — натуральная величина; фактический размер
8. n ист. стандартная мера9. n мор. жарг. скудный паёк10. v располагать, расставлять по величине11. v сортировать по величине12. v определять размер, величину; измерятьeconomic size — экономичный размер; оптимальный размер
13. v тех. калибровать14. n спец. клей; шлихта15. n текст. аппрет16. v спец. проклеивать; шлихтовать17. v текст. аппретироватьСинонимический ряд:1. admeasurement (noun) admeasurement; dimensionality; dimensions; measure; proportion2. amount (noun) amount; quantity; sum3. area (noun) area; diameter; expanse4. capacity (noun) capacity; content; volume5. coating (noun) coating; glaze; glue6. extent (noun) amplitude; bigness; bulk; dimension; extent; greatness; largeness; magnitude; mass; measurements; proportions; sizableness; tonnage; vastness7. coat (verb) coat; glaze; glue8. measure (verb) catalogue; measure; sort -
16 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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